The course will cover a number of different regression analyses, including the following:

Linear regression

Logistic regression

Ordinal logistic regression

Poisson regression

Negative binomial regression

Social events

As part of the summer school, you can attend a number of free social activities, including an evening reception on the first day, a dinner and a trip to see a musical.

Who this course is for

You don't need any knowledge of statistical analysis or R to attend this course.

Learning outcomes

By the end of this course you should be able to:

set out a plan of analysis for a research question, accounting for all types of data involved and aspects of the question

choose the best way of graphically displaying data and results

choose the significance tests suitable to answer the research question

make appropriate use of statistical inference methods

understand when regression methods are useful

choose the most suitable regression model for your analysis

evaluate the goodness of fit of the fitted model

perform appropriate model diagnostics and predictions

perform all the above analyses in the Rstudio software package

Certificates

You'll receive a certificate of attendance when you have completed the course.

Cost and concessions

The standard price is £1,800.

The fee includes:

a welcome pack

printed course materials

refreshments and lunches

social events

The fee doesn't cover accommodation and you'll need to arrange this yourself.

Cancellations

Refunds won't be given for cancellations made within two weeks of the start date or for non-attendance.

Cancellations made within two to four weeks of the start date will incur a fee of 25%. Please send all cancellation requests directly to the course administrator.

Find out about other statistics courses

CASC's stats courses are suitable for anyone requiring an understanding of
research methodology and statistical analyses. The courses allow
non-statisticians to interpret published research and/or undertake their
own research studies.

Sign up for short course announcements: Subscribe to the UCL Life Learning newsletter to receive news and updates on courses in your chosen area. (For updates on a specific course, contact the administrator - see 'Contact information'.)

Course team

Eirini Koutoumanou

Eirini joined GOS ICH in 2008 as the first CASC Teaching Fellow and was promoted to Senior Teaching Fellow in 2014. She has a Bachelor’s degree in Statistics from the Athens University of Economics and Business and a Master's degree in Statistics from Lancaster University, and she's currently studying for a PhD at ICH. Eirini started teaching at ICH straight after her student days, putting into practice and further developing her passion for statistics teaching. She's played an instrumental role in the formation of CASC and hopes to see it develop further.

Dr Dean Langan

Dean joined GOS ICH in 2015 as a Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.

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Five-day course providing a comprehensive introduction to the fundamental aspects of research methods and statistics. For those new to quantitative research. From study design/data types/graphs to choosing/interpreting statistical tests.